Parameter Estimation for Class A Modeled Ocean Ambient Noise

Journal of Engineering and Technological Sciences

Xuebo Zhang¹  Wenwei Ying² 

[1] Laboratory of Underwater Acoustics, Middle of Renmin Avenue, Xiashan District, Zhanjiang 524000,;Naval Research Academy, No. 1 of the Old West Road, Changping District, Beijing 102249,

关键词: characteristic function;    class A;    noise modeling;    non-Gaussian noise;    parameter estimation;    quantile-quantile (Q-Q) plot;   

DOI  :  10.5614/j.eng.technol.sci.2018.50.3.2

学科分类：工程和技术（综合）

来源: Institute for Research and Community Services ITB

【 摘 要 】

A Gaussian distribution is used by all traditional underwater acoustic signal processors, thus neglecting the impulsive property of ocean ambient noise in shallow waters. Undoubtedly, signal processors designed with a Gaussian model are sub-optimal in the presence of non-Gaussian noise. To solve this problem, firstly a quantile-quantile (Q-Q) plot of real data was analyzed, which further showed the necessity of investigating a non-Gaussian noise model. A Middleton Class A noise model considering impulsive noise was used to model non-Gaussian noise in shallow waters. After that, parameter estimation for the Class A model was carried out with the characteristic function. Lastly, the effectiveness of the method proposed in this paper was verified by using simulated data and real data.

【 授权许可】

CC BY